12 May 2023
Seminar, Lecture, Talk
Department of Mathematics - Seminar on Applied Mathematics - Lattice Boltzmann method for variable density low Mach flows
Variable density low Mach (VDLM) flows are frequently encountered in many natural and engineering applications, such as atmosphere convection, ocean circulation, premixed and diffusion flame, fires, and multiphase or flows.
11 May 2023
Seminar, Lecture, Talk
Physics Department - Excitons and Correlated Physics in TMDC Moiré Superlattice
8 May 2023
Seminar, Lecture, Talk
Physics Department - Towards Quantum-enhanced Sensing and Imaging
8 May 2023
Seminar, Lecture, Talk
Physics Department - Nonreciprocal Interactions - Drops of Activeliquids and Arrested Coarsening
8 May 2023
Workshop
HKUST Big Data Institute Workshop on Big Data and Biomedical & Chemical Science 
Jointly organized by the HKUST Big Data Institute and Division of Life Science, the workshop aims to discuss the most advanced progress in the area of adapting AI & Data techniques in Biomedicine and Biochemistry.
5 May 2023
Seminar, Lecture, Talk
Department of Mathematics - Seminar on Statistics and Data Science - Semiparametric efficient G-estimation with invalid instrumental variables
The instrumental variable method is widely used in the health and social sciences for identification and estimation of causal effects in the presence of potential unmeasured confounding.
5 May 2023
Seminar, Lecture, Talk
Department of Mathematics - Seminar on Pure Mathematics - Conjecture O and Gamma conjecture I for Fano manifolds 
In this talk, we will discuss Conjecture O and Gamma conjecture I for Fano manifolds in more details. We will review the current approaches to both conjectures in various concrete examples.
5 May 2023
Seminar, Lecture, Talk
Department of Mathematics - Seminar on Statistics - Embedded Model problems with applications to modelling environmental extremes
Modelling Hydrological extremes is an important issue in hydrology and water resources research. In Statistics, there are two types of extreme value theory.
For more past events from across the School of Science, please visit here.